You are about to reverse-engineer and rebuild $ARGUMENTS as pixel-perfect clones.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Setting a minimum release age (a "cooldown") on dependencies is a cheap, high-leverage defense against supply-chain attacks. Most malicious package versions are detected and yanked within hours, so a 24-hour delay filters out the smash-and-grab incidents (axios 1.14.1, ua-parser-js, Solana web3.js, etc.).

All three major Node.js package managers now support this, but each one used a different name and a different unit. Here is what you need.

You can use the below link to access Fritzing downloads for free.

https://fritzing.org/download?dlid=khfI2NwLQN4FHv5jAMd-2A

Additionally, below are direct download links to Fritzing.